FreddieMeter analyzes your singing using machine learning models that have been trained on the original studio tapes of Freddie singing. The models judge your pitch (how well you hit the notes), your melody (how well you hit the notes in relation to each other), and timbre (how much your vocal style matches Freddie's).
These models were developed by Google Research, but they’re still experimental, so your score might not be what you think you deserve. Your microphone, speakers, and background noise can all affect your score. If getting 100 seems almost impossible, remember that scientists are still trying to figure out what made Freddie’s voice so unique .
All analysis of your singing happens on your device, so your vocals stay private to you.
How well you hit the notes
How well you hit the notes in relation to each other
How much your vocal style matches Freddie’s
“I think my melodies are
superior to my lyrics”
FreddieMeter was made with The Mercury Phoenix Trust , a charity founded by Brian May, Roger Taylor, and their manager Jim Beach in memory of Freddie Mercury, who died in 1991 from AIDS-related causes.
In the last 21 years, the Trust has funded over 700 projects across 57 countries in the global battle against HIV/AIDS.